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Jaideep Srivastava

8 papers hereh-index 226 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author7

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CL6
  • cs.CY1
  • cs.SI1
same name
  • Jaideep Srivastava — 9 papers, h 11
  • Jaideep Srivastava — 5 papers, h 1
  • Jaideep Srivastava — 2 papers, h 6
  • Jaideep Srivastava — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CL2026

PragAlign: Feedback-Guided Pragmatic Alignment for Controlled Synthetic Dialogue Generation

Smitha Muthya Sudheendra, Jaideep Srivastava

Synthetic dialogue generation can support research in privacy-restricted service settings, but generated conversations must preserve communicative intent, affective meaning, and na…

cs.CL2026

When Decodability Is Not Enough: Logical Validity Representations, Behavioral Dissociation, and Causal Tests in Language Models

Smitha Muthya Sudheendra, Jaideep Srivastava

Large language models can look capable of logical reasoning, but correct or incorrect answers alone tell us little about what the model represents internally. We study logical veri…

cs.CL2026

BiMind: A Dual-Head Reasoning Model with Attention-Geometry Adapter for Incorrect Information Detection

Zhongxing Zhang, Emily K. Vraga, Jisu Huh +1

Incorrect information poses significant challenges by disrupting content veracity and integrity, yet most detection approaches struggle to jointly balance textual content verificat…

cs.CL2026

ReasonScaffold: A Scaffolded Reasoning-based Annotation Protocol for Human-AI Co-Annotation

Smitha Muthya Sudheendra, Jaideep Srivastava

Human annotation is central to NLP evaluation, yet subjective tasks often exhibit substantial variability across annotators. While large language models (LLMs) can provide structur…

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